Data Scientist 5- Evolving Core Metrics

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Member Applied Research Data Science and Engineering team drives foundational research to advance the measurement and understanding of member value. We guide optimal product decision-making while balancing trade-offs, and connect on-the-ground needs from individual teams to holistic priorities and methods shared across the Netflix ecosystem.

We are seeking a Senior Data Scientist with strong experience in observational causal inference, experimentation, and meta-analysis to drive research for Netflix ’s core product metrics. In this role, you will push forward foundational research to value member engagement signals, calibrate product tradeoffs, and ensure that our measurement strategies keep up with a quickly expanding content portfolio. You’ll work in a highly collaborative and cross-domain environment with other data scientists, research scientists, and business teams to influence and improve our product decision-making.

In this role, you will:

Directly lead the research and development of our core member metrics and decision frameworks, particularly as our member base and content offerings expand.

Establish strong relationships with product, engineering, and data science partners to facilitate decision making under complex tradeoffs.

Connect and incubate new research advancements, alongside ML and research science partners across domains, to uplevel proxy metric solutions that balance performance with interpretability.

Advance our meta-analysis capabilities and collaborate on causal inference tooling.

To be successful in this role, you have:

Advanced degree in Statistics, Economics, Computer Science or related quantitative field.

5+ years of relevant experience, focused on building and delivering real-world causal and/or machine learning models with demonstrated impact.

Strong statistical knowledge and intuition across a range of methods, ideally focused on experimentation or other product analytics settings.

Strong quantitative programming skills (Python preferred), including experience with production systems.

Exceptional oral and written communication skills, with the ability to move between technical writing and high-level summaries.

Passion for driving product vision and innovation strategy by leveraging a broad set of techniques and building strong partnership with stakeholders.

Strong product sense to balance between addressing specific stakeholder needs and investing in scalable solutions to serve general use cases.

Ability to